Instructions to use syreeta/CodeCrusaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use syreeta/CodeCrusaders with Scikit-learn:
import joblib from skops.hub_utils import download download("syreeta/CodeCrusaders", "path_to_folder") model = joblib.load( "voting.pickle" ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
File size: 952 Bytes
fae6aa6 ee7ec73 fae6aa6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | {
"sklearn": {
"columns": [
"memory_GB",
"network_log10_MBps",
"local_IO_log10_MBps",
"NFS_IO_log10_MBps"
],
"environment": [
"scikit-learn=1.6.1"
],
"example_input": {
"NFS_IO_log10_MBps": [
-3.0,
-1.4805,
-3.0
],
"local_IO_log10_MBps": [
-0.8381,
0.0968,
-0.9018
],
"memory_GB": [
43.5205,
10.3542,
88.2232
],
"network_log10_MBps": [
-1.1597,
0.8827,
-0.519
]
},
"model": {
"file": "voting.pickle"
},
"model_format": "pickle",
"task": "tabular-classification"
}
} |